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FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation
A key challenge in e-commerce is that images have multiple attributes where users would like to manipulate and it is important to estimate discriminative feature representations for each of these attributes.
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation
To our best knowledge, the proposed method is first to enable adversarial learning in autoregressive models for image generation.
Attribute Manipulation Generative Adversarial Networks for Fashion Images
Recent advances in Generative Adversarial Networks (GANs) have made it possible to conduct multi-domain image-to-image translation using a single generative network.
Learning Attribute Representations With Localization for Flexible Fashion Search
In this paper, we investigate ways of conducting a detailed fashion search using query images and attributes.
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